Vectorial Functions definition

Persalys usage
1

Hello,

i would like to ask a question referring to an example given in the following link:

https://openturns.github.io/openturns/latest/auto_functional_modeling/field_functions/plot_viscous_fall_field_function.html#sphx-glr-auto-functional-modeling-field-functions-plot-viscous-fall-field-function-py

i can understand the definition of the function as well as the definition of the sampled trajectories. My question resides on the connectivity between persalys and Code_Aster through the Salome Meca environment. I would like to know if it is possible to extract the vectors of a defined function in C.A. for stochastic and optimization analysis.

Thank you!

2

In persalys, you can extract values at some specific node (right click on the central tendancy result) and then it will create a data model based on these data.
We are currently creating a video based on this example.
Here is the example we will use, which is the one of the link you gave.

field_example.xml (938.3 KB)

3

Hello,

thank you very much for the example it shed indeed a lot of light on how many things work in persalys!! I will have to do some tests following the new salome_meca 2020 version that became available these last days and see how this works out!.
I have a problem in defining the NOM_PARA variable in Salome_Meca and establish said connection with the Persalys version. The error i am getting at the moment is the following : " NOM_PARA not defined in the selected IMPR_TABLE command" . I am defining a NOM_PARA in my study in the IMPR_ΤΑΒLE command. It seems like the .npy file is not read correctly. Would you happen to know how to correct this? Are there any prerequisites that i am not aware of and should of been installed?

Thank you very much !

4

I am sorry I do not use Salome_Meca so I don’t know what is the problem. I think you may have to switch from this forum to the salome_meca forum depending of the topic.

5

Thank you very much for the reply, i will do that !
Also another question, in the example you have given me i can see the different distributions used for the probabilistic model. Which are the criteria to select the distributions ?